Wayne (Wen-Yan) Wu

Hey, thanks for stopping by! 😄
I am currently a Research Scientist at Shanghai AI Laboratory, working with Dahua Lin and Chen Qian, where I am leading the group of XR-Research. Since 2019, I have been a visiting scholar at MMLab@NTU at Nanyang Technological University, working with Chen Change Loy. Previously, I was an Associate Director of R&D at SenseTime Group Inc., working with Xiaogang Wang, where I led the research and development of XR-Lab and SmartVideo Group. I obtained my PhD in the BNRist Center, Department of Computer Science and Technology at Tsinghua University.
My research interests lie at the intersection of Computer Vision, Computer Graphics and Machine Learning, with focus on the generative model, digital human and video understanding.
** Job positions are open for researchers and interns at Shanghai AI Lab! **
** Joint programs of PhD at NTU and HKUST are open! **
News
Oct, 2022 | We started OpenXDLab, a new large-scale open-source project for datasets of XR research! 🔥 |
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Sep, 2022 | We released XRNeRF, OpenXRLab’s Neural Radiance Field (NeRF) Toolbox! 🔥 |
Sep, 2022 | 1 paper got accepted by NeurIPS 2022. |
Jul, 2022 | 5 papers got accepted by ECCV 2022. |
May, 2022 | 2 papers got accepted by SIGGRAPH 2022. |
Mar, 2022 | 3 papers got accepted by CVPR 2022. |
Jul, 2021 | 6 papers got accepted by CVPR/ICCV/NeurIPS in 2021. |
Aug, 2020 | We are organizing DeeperForensics Challenge on Real-World Face Forgery Detection, ECCV 2020. |
Aug, 2020 | We are organizing Workshop on Sensing, Understanding and Synthesizing Humans, ECCV 2020. |
Jul, 2020 | 5 papers got accepted by CVPR/ECCV/NeurIPS in 2020. |
Jul, 2020 | We released MMAction2, OpenMMLab’s Next Generation Action Understanding Toolbox. |
Jul, 2020 | We released MMEditing, OpenMMLab’s Image and Video Editing Toolbox. |
Selected Publications
- Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View SynthesisTechnical report, arXiv:2204.11798, 2022
- 3DHumanGAN: Towards Photo-Realistic 3D-Aware Human Image GenerationTechnical report, arXiv:2210.06551, 2022
- StyleGAN-Human: A Data-Centric Odyssey of Human GenerationEuropean Conference on Computer Vision (ECCV), 2022
- CelebV-HQ: A Large-Scale Video Facial Attributes DatasetEuropean Conference on Computer Vision (ECCV), 2022
- Text2Human: Text-Driven Controllable Human Image GenerationACM Transaction on Graphics (SIGGRAPH), 2022
- TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial EditingConference on Computer Vision and Pattern Recognition (CVPR), 2022
- Focal Frequency Loss for Image Reconstruction and SynthesisInternational Conference on Computer Vision (ICCV), 2021
- Everything’s Talkin’: Pareidolia Face ReenactmentConference on Computer Vision and Pattern Recognition (CVPR), 2021
- MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face GenerationEuropean Conference on Computer Vision (ECCV), 2020
- DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionConference on Computer Vision and Pattern Recognition (CVPR), 2020
- TransMoMo: Invariance-Driven Unsupervised Video Motion RetargetingConference on Computer Vision and Pattern Recognition (CVPR), 2020
- TransGaGa: Geometry-Aware Unsupervised Image-to-Image TranslationConference on Computer Vision and Pattern Recognition (CVPR), 2019
- ReenactGAN: Learning to Reenact Faces via Boundary TransferEuropean Conference on Computer Vision (ECCV), 2018
- Look at Boundary: A Boundary-Aware Face Alignment AlgorithmConference on Computer Vision and Pattern Recognition (CVPR), 2018